CLARU
mtebcc-by-4.0

BRIGHT

Downloads3K
Likes3

Why This Matters for Physical AI

This dataset is not relevant to physical AI research as it is a text-retrieval benchmark for language models, not a robotics dataset with embodied interaction data.

Technical Profile

Modalities
language
Task Types
text-retrieval
Annotation Types
language_instructionsreasoning
License
cc-by-4.0

Community Signals

Top 25% by downloads
HuggingFace Discussions1

Access

View on HuggingFace

Need custom language data?

Claru builds purpose-built datasets for any environment applications with dense human annotations and quality assurance.

Request a Sample Pack

Related Datasets

Hy-Embodied-0.5-VLA-Data

A large-scale bimanual manipulation dataset with 2,163 hours of high-fidelity demonstrations collected via custom fingertip UMI device with optical motion-capture, spanning 70+ manipulation tasks for training Vision-Language-Action foundation models.

rgbproprioceptionlanguage
222K downloadsJul 2026cc-by-4.0

Stera-10M

An open egocentric multimodal dataset for embodied AI and robotics containing 200 hours of synchronized first-person recordings with RGB, LiDAR depth, 6-DoF camera pose, IMU, and 21-joint hand mocap annotations from 500+ sessions.

rgbdepthimuproprioception+2
79K downloadsMay 2026stera-license

In-The-Wild Humanoid Dataset

A large-scale dataset of 500+ hours and 23K+ episodes of whole-body humanoid robot learning captured through human teleoperation demonstrations on Unitree G1 across real homes in Southeast Asia. The dataset includes synchronized visual observations, robot states, actions, and metadata for research on mobile manipulation, bimanual interaction, and long-horizon household skills.

rgbinfraredproprioceptionimu+2
78K downloadsJun 2026

Xperience-10M

A large-scale egocentric multimodal dataset of human experience containing 10 million interactions and 10,000 hours of synchronized first-person recordings with six video streams, audio, stereo depth, camera pose, hand mocap, full-body mocap, IMU, and hierarchical language annotations for embodied AI, robotics, and world modeling research.

rgbaudiodepthproprioception+3
77K downloadsApr 2026other

OmniAction

A large-scale multimodal dataset for proactive robot manipulation with 141,162 episodes covering contextual instruction following through spoken dialogue, environmental sounds, and visual cues. The dataset includes 5,096 distinct speaker timbres, 2,482 non-verbal sound events, and 640 environmental backgrounds across six categories of contextual instructions.

rgbaudiolanguage
76K downloadsApr 2026cc-by-nc-4.0

OmniAction

A large-scale multimodal dataset for proactive robot manipulation comprising 141,162 episodes with cross-modal contextual instructions derived from spoken dialogue, environmental sounds, and visual cues rather than explicit commands.

rgbaudiolanguage
75K downloadsMar 2026cc-by-nc-4.0